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International Journal of Intelligent Transportation Systems Research

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01-01-2015

VANET IR-CAS for Commercial SA: Information Retrieval Context Aware System for VANET Commercial Service Announcement

Authors: Lobna Nassar, Fakhri Karray, Mohamed S. Kamel

Published in: International Journal of Intelligent Transportation Systems Research | Issue 1/2015

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Abstract

We propose a context aware system for VANET based on information retrieval and show how it supports Service Announcement (SA). VANET IR-CAS enhances scalability through its highly abstract hybrid context model. It uses an ontology that formalizes the semantics of VANET context domain to allow for knowledge sharing. A hybrid vehicular communication (HVC) is utilized to increase the decentralization, exploit vehicle processing power and protect privacy. The employed IR techniques and partial relevance improve the dispatched information relevance to prospective recipients and add to their satisfaction. Using smart service grouping raises filtering efficiency due to reduction in required connection time.

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Title: VANET IR-CAS for Commercial SA: Information Retrieval Context Aware System for VANET Commercial Service Announcement
Authors: Lobna Nassar
Fakhri Karray
Mohamed S. Kamel
Publication date: 01-01-2015
Publisher: Springer US
Published in: International Journal of Intelligent Transportation Systems Research / Issue 1/2015
Print ISSN: 1348-8503
Electronic ISSN: 1868-8659
DOI: https://doi.org/10.1007/s13177-014-0078-z

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